An AI model must understand the feeling behind a user's request. The AI model should match the feeling in its response. This makes the AI model's answer more helpful and personal.
By Pawan Nayar · from the LLOS AI Learning record
An AI model must understand the feeling behind a user's request.
The AI model should match the feeling in its response. This makes the AI model's answer more helpful and personal.
A user often wants a specific feeling in a message. The AI model should identify this feeling. Then, the AI model should create a message that shows that feeling. This makes the message more meaningful to the user.
A user asks an AI model for an Eid Mubarak message. The user wants a feeling of 'reassurance'. The AI model suggests: 'May Allah's mercy reach you before your worries do.' This message directly gives the feeling of reassurance the user wanted.
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The AI model's content should address a user's unstated needs indirectly. The content itself should be the solution.
An AI model can use a metaphor to compare a feeling to a common experience. This helps a person understand the emotion better.
A developer can use metaphors to describe feelings that are hard to put into words. Metaphors create a picture in the user's mind.
An AI model can use specific images and sounds. It can describe what a person sees, hears, or feels.
An AI model must understand the feeling behind a user's request. The AI model should match the feeling in its response. This makes the AI model's answer more helpful and personal.